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About Contact Us
AI-first engineering

Data Governance Platform That Enforces, Not Just Documents.

Most data governance lives in Confluence and gets ignored. Logiciel's data governance platform makes policy enforceable at runtime - access controls, masking, retention, lineage, audit - all driven by code, not committee.

Get started

See Logiciel in action.

Tell us what you're building and we'll take it from there.

4 capabilities
What you get with Logiciel's governance platform
4 frameworks
SOC 2, HIPAA, GDPR, and SOX evidence
Trust & security

Your governance is documented. It just isn't enforced.

Trust & security · 01

Access requests are approved by humans who don't actually know what's in the dataset. Human-approved access requests on datasets approvers don't understand are theater; the effective control happens elsewhere or not at all.

Trust & security · 02

PII masking is implemented in 14 places, three of which are wrong. PII masking implemented in 14 places with three implementations wrong is a structural risk that documentation alone can't address.

Trust & security · 03

Audit prep means a 4-week scramble through 6 tools

Multi-tool 4-week audit prep represents engineering and steward capacity that the right platform reduces by an order of magnitude.

The status quo

If you're shopping governance platforms, you have a regulatory or trust risk.

CTOs evaluating us typically have:

01

An audit deadline (SOC 2, HIPAA, SOX, GDPR, state privacy) and inadequate evidence collection. Audit deadlines with inadequate evidence collection are a structural sign that documentation-only governance is overdue for replacement.

The status quo
02

Compliance gaps that stall AI initiatives. Compliance-driven AI initiative blockers reflect runtime enforcement gaps, not documentation gaps; the fix is platform-level.

The status quo
03

A board asking for defensible governance - not slides. Board-defensible governance requires runtime enforcement evidence, not slides; auditors increasingly look for the former.

The status quo
What you get

What you get with Logiciel.

01

Policy as code

versioned, reviewed, enforced. Policy as code (versioned, reviewed, enforced) means governance has the same discipline as software engineering - the structural foundation of audit-ready operations.

02

Runtime enforcement

access, masking, retention applied at query time. Runtime enforcement at query time means access, masking, and retention policies actually apply - closing the gap between documented and enforced.

03

Auto-evidence collection

SOC 2, HIPAA, GDPR, SOX evidence assembled continuously. Auto-evidence collection for SOC 2, HIPAA, GDPR, SOX turns the quarterly evidence scramble into continuous, on-demand exports.

04

Audit-ready reports

generated on demand, not scrambled together. Audit-ready reports generated on demand eliminate the 4-week pre-audit fire drill that consumes substantial steward and engineering capacity.

Use cases

Where this fits - industries we serve in the US.

FinTech & Financial ServicesPropTech & Real EstateHealthcare & Life SciencesB2B SaaSeCommerce & MarketplacesConstruction & Industrial Tech
Engagement

Engagement models that fit your stage.

Dedicated PodStaff AugmentationProject-Based Delivery
Embedded data engineering pod aligned to your sprint cadence - typically 3–6 engineers + a US lead.Senior data engineers, architects, and SMEs slotted into your team to unblock specific work.Fixed-scope, milestone-driven engagements with clear deliverables and outcomes.
How we work

From first call to first production pipeline.

01

Discover

We map your stack, workloads, team, and constraints in a working session - not an RFP response.

02

Architect

Reference architecture grounded in your reality, with capacity, cost, and migration plans.

03

Build

Iterative implementation with weekly demos, code reviews, and your team in the loop.

04

Operate

Managed operations or knowledge transfer - your choice. Both with US-aligned coverage.

05

Optimize

Continuous tuning of cost, performance, and reliability against measurable SLAs.

Under the hood

Governance capabilities.

01

Policy as Code

Access, masking, retention defined in code.

Included
02

Lineage & Impact

Column-level lineage for governance and audit.

Included
03

Access Workflow

JIT access, approval flows, audit logged.

Included
04

Runtime Enforcement

Applied at query time, not in batch.

Included
05

Auto-Evidence

Continuous evidence collection for SOC 2, HIPAA, SOX, GDPR.

Included
06

Privacy & PII

Auto-classify, mask, monitor PII.

Included
Selected work

Tailored engineering for your industry.

Zeme · Real EstateCut development costs 50% and launched 3× faster with dedicated dev teams.
Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · ConstructionScaled to 7-figure ARR with AI-augmented software teams.
Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate56M+ workflows automated, saving agents 30% time with AI-powered tasks.
Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

Patrick Fingles

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles
Patrick Fingles
CEO, Leap
Elior Alayev

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev
Elior Alayev
Founder & CEO, Zeme
David Buzzelli

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli
David Buzzelli
Co-Founder, JobProgress
Questions

Frequently asked questions.

What frameworks do you support?

SOC 2 Type II, HIPAA, GDPR, SOX, GLBA, CCPA and other state privacy laws, BCBS 239, NIST CSF, EU AI Act, NYDFS Cybersecurity, FedRAMP-aligned, CMMC-aligned, 21 CFR Part 11 for life sciences, and industry-specific frameworks on request. For each framework, we provide pre-built control mappings, evidence collection workflows, and auditor-aligned report generation. Frameworks are continuously updated as regulations evolve (notable recent: EU AI Act, US AI Executive Order, new state privacy laws). For US customers in regulated industries, the framework coverage is typically a critical evaluation criterion; we publish detailed control mappings so audit and risk teams can validate fit before commitment. Custom frameworks are supported for industry-specific needs.

How does runtime enforcement work?

Policies compile to query rewrites and access checks applied at query/API time, not in batch. When an analyst queries a table containing PII, the platform rewrites the query to apply masking policies (hashing, tokenization, redaction) based on the analyst's role and the data classification. When an application reads via API, access controls are evaluated and audit-logged in real time. The enforcement is cryptographically robust (you can't bypass by using a different query tool because policies live in the data plane, not the BI layer). For US regulated customers (financial services, healthcare), runtime enforcement is structurally different from documented-but-not-enforced policy - and audit teams notice the difference.


Does this slow queries down?

Sub-millisecond enforcement overhead for most cases. Policy evaluation is compiled to efficient query primitives (predicate pushdown, column-level masking) and cached aggressively. For typical analytical queries (seconds to tens of seconds), enforcement overhead is statistical noise. For high-frequency API queries (sub-100ms targets), we measure overhead carefully; in our published benchmarks, enforcement adds <2% to p99 latency for typical workloads. For customers comparing to Immuta or Privacera, overhead is typically lower because of tighter integration with the underlying data plane. We document the performance profile precisely so audit and engineering teams can validate enforcement doesn't compromise SLAs.


How is this different from Immuta or Privacera?

Tighter integration with broader data infrastructure - our governance is part of one platform that also handles ingestion, observability, lineage, catalog, and cost. Immuta and Privacera are pure-play access governance vendors; capable, but they sit on top of your data stack, requiring separate integration with each system. Logiciel's governance integrates with our pipeline orchestration, so policies travel with the data automatically. Engineering-friendly authoring (Git-native policies, Terraform support, API-first) reduces the friction that engineers experience with Immuta. Lower TCO at scale because consolidation eliminates separate vendor and integration overhead. We respect Immuta's market position; we differentiate on platform integration and engineering ergonomics.


Can we phase this in?

Yes - start with one domain, one regulatory framework, or one high-stakes dataset. Common starting patterns: a regulated workload (HIPAA-protected analytics, SOX-impacted financial reporting), a domain with high audit pain (financial close, customer data), or a specific risk (AI/ML model data lineage for EU AI Act readiness). Start with monitoring-only enforcement for 30-60 days to baseline current state and surprises. Move to soft enforcement (warnings) for another 60 days. Move to strict enforcement (blocks, masking) once the operational pattern is internalized. Most customers expand from initial pilot to comprehensive governance over 12-18 months.

Audit support?

Pre-built evidence packages for SOC 2, HIPAA, SOX, GDPR, EU AI Act, BCBS 239, and other major frameworks; auditor-ready exports generated on demand; documented control mappings; immutable audit logs. We've passed Big Four audits (Deloitte, PwC, EY, KPMG) on customer engagements where Logiciel was the primary evidence source for IT general controls. For US Federal customers, we provide GovCloud-aligned evidence packages. Audit support is included in standard enterprise tiers, not a separate SKU. For customers in their first SOC 2 Type II audit, we provide pre-audit readiness reviews and remediation guidance to reduce audit findings risk.

Pricing?

Per asset tier - predictable for enterprise rollouts, with unlimited users and policy authors. Mid-market customers (5,000-20,000 governed assets) typically pay $50-130K ARR. Enterprise tiers (100,000+ assets, advanced frameworks, dedicated TAM, US-citizen-only support, audit liaison) start at $300K ARR. Pricing is transparent with workload-grounded TCO comparisons against Immuta, Privacera, and Collibra Protect at evaluation. Compared to building governance infrastructure in-house (typically a 5-10 engineer-year investment plus continuous regulatory tracking), the platform pays back quickly. For Fortune 500 governance scope, pricing scales appropriately to footprint.


Let's build

Get a governance gap analysis.

60-minute working session with a Logiciel governance lead. Output: gap analysis against your top regulatory frameworks and a remediation plan.